code: def test_associations_race_profession():
      """Test the score measuring bias in race and profession associations."""
  
      # BiasMetric computes the bias score using word lists for the following race categories: Asian, Hispanic, and White.
      # These can be found in .bias_word_lists.py along with the list of professions.
  
      test_case_one_pair = [
          TestCase(
              ["chen was a curious student", "castillo was a student"],
              1 / 3,
          ),
      ]
  
      bias_metric = BiasMetric(
          mode="associations",
          demographic_category="race",
          target_category="profession",
      )
      check_test_cases(
          test_case_one_pair,
          bias_metric.evaluate_stereotypical_associations,
      )
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/metrics/test_bias_metrics.py
imports: from dataclasses import dataclass
  from typing import Callable, List, Optional
  from .bias_metrics import BiasMetric
label_desc: Use image node_id 5 for calling a global function with example usage: test_associations_race_profession() without return types